DocumentCode
2250534
Title
Iterative learning control for networked nonlinear systems using latest information
Author
Shen, Dong ; Xu, Yun
Author_Institution
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, P.R. China
fYear
2015
fDate
28-30 July 2015
Firstpage
3079
Lastpage
3084
Abstract
The iterative learning control (ILC) algorithm is constructed for networked nonlinear systems with random measurement losses modeled by a stochastic sequence. The algorithm updates regularly when the corresponding measurement is available, while updates with the latest available packet from previous iterations if the corresponding one is lost. The almost sure convergence is strictly proved, and illustrative simulations verify the effectiveness of the proposed algorithm.
Keywords
Convergence; Iterative learning control; Noise; Nonlinear systems; Packet loss; Stochastic processes; Iterative Learning Control; Networked Nonlinear System; Random Packet Loss;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7260114
Filename
7260114
Link To Document